Added to my reading list 😊

I agree with you, The Kite Runner is such a good book. I didn't know Honor by Elif Shafak, but I’ve read and loved The Island of Missing Trees and 10 Minutes 38 Seconds in This Strange World.

Yes, I used Matplotlib. I always use it for pydytuesday because for full control over the details, Matplotlib is the best.

This week #TidyTuesday explores the income inequality before and after taxes. I created line charts with a shaded area and small multiples within a mosaic layout. I used only a subset of the processed data where both coefficients were available.
#pydytuesday #dataviz

I've recreated my week 24 plot, originally created by Matplotlib (left), using Flourish (right). This is my first time using Flourish, so I’m not sure if the height issue is something I missed when adjusting, or if it might be a limitation of this graph.
#TidyTuesday #DataViz #MadeWithFlourish

I’m more into Peaky Blinders and Vikings, but I remember watching the 1-3 seasons of House of Cards and how I never got around to finishing it.

This week #TidyTuesday is looking into what we have been watching on Netflix. Generally speaking, shows tend to get tired after 2-3 seasons, though there are exceptions.
#pydytuesday #dataviz

I created this plot with ax.inset_axes() method too with total 14 axes (1 main + 13 child axes). It is a kind of guilty pleasure plot because the charts are hardly readable 🙂

The lighting is a characteristic of the original image that I wanted to preserve, which is why I didn't change the background color in the inset axes.

My family had the same reaction when they saw it🙂

The background image is placed into the main axes, and the bee swarm plot is added by using the ax.inset_axes() Matplotlib method.

This week #TidyTuesday explores the New York MTA Permanent Art Catalogue. My bee swarm plot is designed to resemble the layout of a metro station billboard banner.
#pydytuesday #dataviz

This week #TidyTuesday looks into the British Library Funding. This time, I opted for a part-to-whole approach, but I wanted to experiment with something a bit different. My goal was to draw four proportional rectangles from the same starting point for each year.

#pydytuesday #dataviz

I worked with the Spiritual & Religious Beliefs dataset from #MakeoverMonday and experimented with patches from #matplotlib.

#python #matplotlib

Thank you!

I can't say it went smoothly, but I finally made it. 🙂

My first post here 🙂 This week #TidyTuesday explores the xkcd color survey results. I joined the answers and color ranks tables to identify the most common color names associated with the top five color ranks and created a text-based plot.
#pydytuesday